Qureos Mentor

SoTalent

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 Observability Platform Engineer
 
 
 
 
 📍 Location: Hamburg, Hamburg, Germany (Hybrid)
 
 
 
 
 🏢 Industry: IT Services and IT Consulting
 
 
 
 
 💼 Work Setting: Hybrid
 
 
 
 
 
 
 Are you passionate about building and optimizing modern observability and monitoring systems? This is a great opportunity to work on cutting-edge technologies across distributed systems, cloud platforms, and containerized environments.
 
 
 
 
 
 As an Observability Platform Engineer, you will design, implement, and manage scalable observability solutions, with a strong focus on distributed tracing and the Grafana ecosystem. You&rsquo;ll play a key role in ensuring system reliability, performance, and visibility across complex infrastructures.
 
 
 
 
 
 Key Responsibilities
 
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 Design, develop, and enhance observability platforms with a focus on distributed tracing and monitoring
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 Build and maintain system architecture integrating metrics, logs, and traces
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 Deploy, configure, and scale monitoring solutions using tools like Grafana, Tempo, Loki, and Prometheus
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 Implement and manage tracing protocols such as OpenTelemetry, Jaeger, and Zipkin
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 Analyze tracing data using TraceQL to identify performance bottlenecks and system issues
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 Optimize platform performance through tuning (e.g., sampling, caching strategies)
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 Manage observability solutions in containerized environments (Kubernetes/OpenShift)
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 Develop and maintain CI/CD pipelines using tools such as Git, Terraform, Ansible, and Artifactory
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 Ensure system security, data integrity, and access control (LDAP, SAML, OAuth)
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 Monitor infrastructure health and plan for scalability (CPU, memory, storage)
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 Required Skills &amp; Experience
 
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 Strong experience with observability tools, particularly within the Grafana ecosystem
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 Hands-on experience with container technologies and orchestration tools
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 Solid understanding of system architecture and distributed systems
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 Experience with CI/CD pipelines and infrastructure as code tools
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 Working knowledge of cloud platforms (AWS, Azure, or GCP)
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 Proficiency in Linux/Unix system administration
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 Ability to analyze system performance and resolve complex issues
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 Preferred Skills
 
 
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 Experience with OpenShift and enterprise container platforms
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 Strong dashboard creation skills for trend analysis and anomaly detection
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 Exposure to large-scale infrastructure design and operations
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 Familiarity with security and compliance requirements for enterprise systems
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</div>

DevOps Engineer

<div>
 
 Data Scientist
 
 
 
 📍 Amsterdam, Netherlands | Hybrid/Flexible Working
 
 
 
 An exciting opportunity is available for a
 
 Data Scientist
 
 to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 
 
 Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 
 
 Key Responsibilities
 
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 Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
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 Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
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 Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
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 Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
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 Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
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 Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
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 Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
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 Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
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 Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
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 </ul>
 
 Skills &amp; Experience
 
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 Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
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 Strong Python programming skills with experience writing clean, well-tested and maintainable code.
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 Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
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 Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
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 Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
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 Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
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 Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
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 Excellent communication and collaboration skills with experience working across multidisciplinary teams.
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 What's on Offer
 
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 Flexible working arrangements supporting work-life balance.
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 Hybrid working environment.
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 Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
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 The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
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 A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
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 Competitive salary and comprehensive benefits package.
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 If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 
</div>

Data Scientist

Join SoTalent and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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DevOps Engineer

Data Scientist